machine learning Work, Jobs in seaham, dur (with Salaries)

Technical Support Specialist (On-Site)
CameraMatics —Darlington
- Hybrid work
- Computer Science
- Organisational skills
- In-person
23h
Technical Support Manager (On-Site)
CameraMatics —Darlington
- Hybrid work
- Computer networking
- Organisational skills
- In-person
23h
Senior Machine Learning Engineer
Sage —Newcastle upon Tyne
- Hybrid work
- AWS
- Machine learning
- APIs
Software Engineer
Baker Hughes —Cramlington
- Full-time
- Remote
- Azure
- Engineering
- Bachelor's degree
- Flexible schedule
- Life insurance
Data Scientist
First Quadrant Labs —Newcastle upon Tyne
- £28,298.70 - £88,103.20 a year
- Full-time
- Java
- SQL
- AWS
Quick apply
Data Architect
Somerset Bridge Group —Newcastle upon Tyne
- Up to £88,000 a year
- Full-time
- Hybrid work
- Azure
- Machine learning
- Contracts
- Annual leave
- Referral programme
Quick apply
Oliver Wyman - Data & Analytics - 6 month Analyst Internship - Newcastle 2026
Oliver Wyman —Newcastle upon Tyne
- Full-time
- Doctoral degree
- English
- Master's degree
Research Assistant in App Development
Newcastle University —Newcastle upon Tyne
- £33,951 - £34,610 a year
- Full-time
- Engineering
- University
- Bachelor's degree
7d
Data Engineer (SC Cleared)
Scrumconnect Consulting —Newcastle upon Tyne
- £400 - £450 a week
- Hybrid work
- Data analysis skills
- SQL
- AWS
Product Manager, Office to Field
Trimble —Newcastle upon Tyne
- Full-time
- Hybrid work
- Engineering
- Bachelor's degree
- Machine learning
Productivity Data Science, Analytics & AI Specialist
Baker Hughes —Newcastle upon Tyne
- Full-time
- Azure
- SQL
- AWS
9d
Manufacturing IT/OT Software Engineer
Cummins Inc. —Darlington
- Azure
- Oracle
- Computer Science
- Relocation assistance
Embedded Software Engineer
OnlyCat —Cramlington
- £33,000 - £60,000 a year
- Full-time
- AWS
- C++
- Machine learning
- Free parking
Quick apply
3d
Reader/Professor in Mathematical or Statistical Data Science
Newcastle University —Newcastle upon Tyne
- Full-time
- Doctoral degree
- Administrative experience
- University
Office Manager
J R Dynamics Ltd —Cramlington
- £25,000 - £30,000 a year
- Full-time
- CRM software
- Administrative experience
- Supervising experience
- Free parking
Quick apply
Solution Architect
Hubexo —Newcastle upon Tyne
- AWS
- Machine learning
- APIs
Mechanical Design / Instrumentation / Project Engineer
J R Dynamics Ltd —Cramlington
- £24,500 - £35,000 a year
- Full-time
- AutoCAD
- Engineering
- Master's degree
- Free parking
Quick apply
11d
Oliver Wyman - Data & Analytics Research Fellowship - Newcastle upon Tyne
Oliver Wyman —Newcastle upon Tyne
- Full-time
- Doctoral degree
- English
- Machine learning
Lecturer/Senior Lecturer in Mathematical or Statistical Data Science
Newcastle University —Newcastle upon Tyne
- £41,064 - £67,468 a year
- Full-time
- Doctoral degree
- Administrative experience
- University
Graduate Data & Digital Engineer
Altrad —Middlesbrough
- Azure
- Computer Science
- DevOps
Quick apply
3d

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Technical Support Specialist (On-Site)

CameraMatics -
Darlington

Apply Now

Job details

23 hours ago

Qualifications

Computer Science
Technical support
Organisational skills
Communication skills
Information Technology

Full job description

Who we are

We’re on a mission to transform how fleets operate, using cutting-edge camera technology, AI, machine learning and telematics to make roads safer and businesses smarter.

As an award-winning SaaS company in a high-growth phase, we’re scaling fast and expanding into new markets worldwide. Our technology gives fleet operators real-time visibility, reduces risk, improves efficiency, and helps set new safety standards across the industry.

Join a global, ambitious team and be part of what's next!

The Role

As a Technical Support Specialist at CameraMatics, you will be the first point of contact for our customers, guiding them through technical challenges and ensuring their satisfaction. You will play a crucial role in troubleshooting issues, providing timely solutions, and contributing to the overall success of our customers' experience with our products.

What you'll do

Deliver exceptional first-line technical support to customers through phone, email, and other communication channels, ensuring a professional, responsive, and customer-focused experience.
Investigate, diagnose, and resolve technical issues relating to Cameramatics products and services, applying a structured and methodical approach to troubleshooting.
Accurately document customer interactions, technical issues, troubleshooting steps, and resolutions within the ticketing system to maintain high-quality support records and knowledge sharing.
Work closely with cross-functional teams, including Engineering, Product, and Customer Success, to resolve complex technical challenges and ensure timely issue resolution.
Manage issue escalation processes effectively, ensuring unresolved cases are routed to the appropriate teams while maintaining clear communication and ownership through to resolution.
Identify recurring issues, trends, and opportunities for improvement, providing actionable feedback to support product enhancements, operational efficiencies, and an improved customer experience.
Contribute to the development and maintenance of technical documentation, knowledge base articles, troubleshooting guides, and customer training materials to promote self-service and knowledge sharing.
Support a global customer base by participating in a shift-based support rota, demonstrating flexibility and adaptability to work alternative hours as required to meet business and customer needs.
Take ownership of customer issues from initial contact through to resolution, ensuring customers are kept informed and receive timely updates throughout the support journey.
Continuously develop technical knowledge and product expertise, staying up to date with new features, technologies, and industry developments to provide best-in-class customer support.

What we’re looking for

2+ years of experience in a technical support or customer-facing technical role, ideally within a software or technology environment.
A strong interest in technology and problem-solving, with a solid understanding of computer systems, networking, and troubleshooting. A degree in Computer Science, Information Technology, or a related field is welcome but not essential.
Experience using diagnostic tools, remote support technologies, and structured troubleshooting approaches to investigate and resolve issues effectively.
Strong written and verbal communication skills, with the ability to explain technical concepts clearly and confidently to both technical and non-technical audiences.
A customer-focused mindset, with a genuine passion for delivering a positive customer experience and helping users find the right solutions.
The ability to work independently while also collaborating effectively with colleagues in a fast-paced and evolving environment.
Strong organisational skills, attention to detail, and the ability to manage multiple priorities while maintaining a high standard of work.

What you'll get:

Health Insurance
Hybrid working: 4 days in the office and 1 day working remotely each week.
Opportunity to grow with the company as we expand across international markets
Work with a collaborative, ambitious team that moves fast and takes quality seriously

Apply Now

Refine Your Search

machine learning jobs in seaham, dur

Technical Support Specialist (On-Site)

Technical Support Manager (On-Site)

Senior Machine Learning Engineer

Software Engineer

Data Scientist

Data Architect

Oliver Wyman - Data & Analytics - 6 month Analyst Internship - Newcastle 2026

Research Assistant in App Development

Data Engineer (SC Cleared)

Product Manager, Office to Field

Productivity Data Science, Analytics & AI Specialist

Manufacturing IT/OT Software Engineer

Embedded Software Engineer

Reader/Professor in Mathematical or Statistical Data Science

Office Manager

Solution Architect

Mechanical Design / Instrumentation / Project Engineer

Oliver Wyman - Data & Analytics Research Fellowship - Newcastle upon Tyne

Lecturer/Senior Lecturer in Mathematical or Statistical Data Science

Graduate Data & Digital Engineer

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